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Paste your resume and a data engineer job posting. See which of the posting's keywords your resume shows and which are missing.
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The checker runs in your browser. Keyword coverage is which of this job's keywords your resume shows, in any word form. It is a tailoring guide, not an ATS score and not a prediction of interviews. Add a keyword only where it's true for you. If you have done the work, say so in the job's words. If you haven't, leave it out.
From 34 real data engineer and analytics engineer job postings at 19 technology companies, collected October 22, 2026 from the companies' public job boards on Greenhouse.
| Keyword | Found in |
|---|---|
| SQL | 28 of 34 postings (82%) |
| Data modeling | 26 of 34 postings (76%) |
| Python | 25 of 34 postings (74%) |
| Data quality | 21 of 34 postings (62%) |
| Airflow | 17 of 34 postings (50%) |
| Reporting | 14 of 34 postings (41%) |
| Dashboards | 13 of 34 postings (38%) |
| AWS | 10 of 34 postings (29%) |
| Data warehouse | 8 of 34 postings (24%) |
| ETL | 8 of 34 postings (24%) |
| Monitoring | 8 of 34 postings (24%) |
| GitHub | 7 of 34 postings (21%) |
| Looker | 7 of 34 postings (21%) |
| Tableau | 7 of 34 postings (21%) |
| Scala | 6 of 34 postings (18%) |
| Analytics | 5 of 34 postings (15%) |
| Code review | 5 of 34 postings (15%) |
| Data analysis | 5 of 34 postings (15%) |
| Data visualization | 5 of 34 postings (15%) |
| ELT | 5 of 34 postings (15%) |
Postings ask for these in plain words. Show them through what you did in your bullets, not as a list of adjectives.
| Keyword | Found in |
|---|---|
| Collaboration | 15 of 34 postings (44%) |
| Communication | 13 of 34 postings (38%) |
| Cross-functional | 13 of 34 postings (38%) |
| Problem solving | 7 of 34 postings (21%) |
How we counted: Each posting was read by the same rules the free keyword checker uses (no AI). A keyword is counted once per posting. Duplicate postings count once. A keyword is listed only when at least 3 different employers ask for it and it appears in at least 1 in 20 of the postings for the role. Words that are not skills (equal-opportunity and legal text, pay terms, the job title itself, regions and general words) are left out.
These postings come from technology companies, so a data engineer job in another industry may ask for different things. Check your resume against the posting you're applying to.
These are templates, not lines from a real person's resume. Replace each [bracket] with what you really did, keep numbers only if you know them, and leave out anything you didn't do.
Keywords are read from the posting by fixed rules, without AI: tool and product names, certifications and other capitalised terms, common skill phrases, items in the posting's skill lists, and phrases the posting repeats. Requirements count most. Remove any that don't fit, or add your own.
Suggest rewrites your resume in the job's terms, only from what's true: it works from your own resume and this job, and you keep or discard each change.
Free to start, no credit card required. Continuing sends your resume and this job to CareerGenius so it can suggest rewrites.
The pipelines, SQL and data quality work you already did, in the posting's words.
They are the words real data engineer postings use most often. No list can tell you how a particular employer's system will rank your resume, and CareerGenius doesn't claim to. Use them to check that your resume says what you really did in the words employers use.
No. No tool can tell you how a particular employer's system will rank your resume, so CareerGenius doesn't show an ATS score, a pass rate or your odds of an interview. Keyword coverage only shows which of the posting's keywords your resume states.
No. The check runs in your browser. Your resume and the job text aren't sent to CareerGenius or anyone else unless you choose to continue to tailoring, which needs a free account. The page counts visits with Google Analytics (the page address, not what you paste) and loads no advertising pixels. If you're signed in, CareerGenius also records the visit and the buttons you press on your account, never what you paste.
The checker looks for the keyword itself in any word form ("managed" for "management"), not for a synonym. If you did the work but described it differently, use the posting's word where it is accurate.
No. Add a keyword only where it's true for you. A resume that claims a skill you don't have can cost you the interview, and the job.
No account is needed to check keywords. An account is needed only to save your resume and get rewrite suggestions for a job.